Campus

One project space for humans and AI agents

Software EngineeringDeveloper ToolsProductivity

▲ 0 votes17 commentsLaunched Jul 15, 2026

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Campus gives builders a shared space to build with teammates and AI agents. Keep your repo, terminal, project knowledge, conversations, and agent work together in one persistent workspace, instead of scattering context across Slack threads, docs, tickets, canvases, and one-off AI chats. Campus is organized around the thing you are building, so humans and agents can pick up where the work left off.

AI Analysis

📝 Summary

Campus provides a unified, persistent workspace for software teams and AI agents, integrating repositories, terminals, project knowledge bases, conversations, and agent activities. It addresses the core pain point of fragmented context scattered across Slack threads, documents, tickets, and isolated AI chats by centering everything around the project itself. This allows seamless handoffs and continued progress by both humans and AI. The unique value proposition is creating a shared, durable environment that treats AI as a true collaborator rather than a one-off tool, boosting productivity in software engineering and development workflows.

📈 Market Timing

The timing is favorable as 2025-2026 will see explosive growth in AI agents, multi-agent systems, and their integration into developer workflows. With maturing LLM context management, rising demand for AI-native collaboration tools, and developer frustration with fragmented tooling, the market is primed. Economic focus on AI productivity gains further supports adoption. Excellent Timing.

✅ Feasibility

Technical integration of repos, live terminals, vector-based knowledge, and persistent AI agent memory is complex but achievable using existing cloud infrastructure, container tech, and LLM APIs. Development and operation costs are medium-high due to real-time collaboration needs. Scalability is strong in cloud environments with low regulatory risks for a dev tool. Overall feasibility is High given current AI tooling maturity. Rating: High.

🎯 Target Market

Primary users are software engineers, full-stack developers, dev teams, and technical founders in software engineering and product development industries, mainly in the US, Europe, and tech hubs globally. The developer tools market TAM exceeds $10B, with AI-enhanced collaboration SAM estimated in hundreds of millions. Core pain points include context loss and inefficient human-AI handoffs. Willingness to pay is high for teams seeing clear productivity ROI, likely via team subscriptions.

⚔️ Competition

Medium. Direct competitors: 1. Cursor (cursor.com), 2. Replit (replit.com), 3. GitHub Copilot Workspace (github.com), 4. Continue (continue.dev), 5. Aider (aider.chat). Campus differentiates with its persistent, project-centric workspace unifying all artifacts and agent memory, unlike Cursor's focus on code editing or Replit's cloud IDE emphasis. Advantages include better context persistence and true agent collaboration. Disadvantages: newer entrant with potentially higher learning curve and less established ecosystem compared to GitHub's scale and Cursor's popularity.

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